CRLC using random channel subsets for positive pairs in contrastive pretraining outperforms baselines for channel-agnostic models on EEG and ECG downstream tasks.
Lead-agnostic self-supervised learning for local and global representations of elec- trocardiogram
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A comprehensive evaluation of pretraining strategies for channel-agnostic contrastive self-supervision of biosignals
CRLC using random channel subsets for positive pairs in contrastive pretraining outperforms baselines for channel-agnostic models on EEG and ECG downstream tasks.